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TrimSO(2): Fast and Memory-Efficient Training of Equivariant Interatomic Potentials

Wang, Chen et al.
arXiv (All) · Papers
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Equivariant interatomic potentials enable accurate and efficient simulations of molecules and materials. Among them, models based on SO(2) convolutions reduce the cost of tensor products and achieve state-of-the-art accuracy, but their training remains time-consuming and memory-intensive. Existing t
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